Graph-model-based roof support control method for hydraulic support group, storage medium
A hydraulic support and control method technology, applied in the direction of biological neural network model, neural architecture, special data processing applications, etc., can solve the problems of ineffective extraction of top coal, waste of resources, etc., and achieve an effect that is conducive to safe support
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[0051] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.
[0052] The invention provides a method for controlling the roof support of a hydraulic support group. The method implements the establishment of a system-level model of the hydraulic support group through a conditional random field graph model, and then realizes the prediction of the roof support decision of the hydraulic support group.
[0053] Method of the present invention comprises the following steps:
[0054] 1. Establishment of conditional random field graph model of hydraulic support group
[0055] According to the characteristics of the spatial distribution and action timing of the hydraulic support group, the optimal decision-making model is abstracted into a graphical model, as shown in Figure 3.
[0056] The conditional random field is the conditional probability distribution P(Y|X) that outputs the Markov random field Y...
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